Earlier this week, 2K announced that it will release Borderlands 4 on September 12 — 11 days earlier than planned. Now, we’re getting another look at the latest in Gearbox’s series, including new features and a full-length gameplay trailer.
One of the most interesting tidbits announced is that Borderlands 4 will offer individual difficulty settings in co-op multiplayer. So, one person could play on easy and another on hard while still maintaining fluid gameplay. It’s a cool option if you want to play with great gamers but not face the same intense challenges.
Along with the new trailer, you can also watch a 20-minute deep dive into the game, if you so please. The State of Play presentation from creative director Graeme Timmins and senior project producer Anthony Nicholson shows “the nitty-gritty details of how you’ll wreak havoc across Kairos and take down the Timekeeper.”
This article originally appeared on Engadget at https://www.engadget.com/gaming/playstation/borderlands-4-will-have-individual-difficulty-settings-for-co-op-players-121626097.html?src=rss
The BBC announced a new addition to its Maestro series of masterclasses, featuring its first posthumous teacher, Agatha Christie, presenting her writing tips in 4K video. The best-selling author of literature in human history teaches an 11-lesson course on writing mysteries, and the BBC seems very aware of the issues circling AI, which provokes a mix of intrigue and, honestly, wariness.
Christie, who died in 1976, has had her likeness composited through a blend of licensed images, limited footage and past audio recordings. That data has been blended with actor Vivien Keene, who ‘performs’ the words of Christie on video. This is a more cautious approach. During a Q&A event at the course’s launch in London, Keene stated outright that this was a performance. It seems a particularly risky choice, too: a lot of writers, editors, and authors are facing AI tools that reduce job opportunities or absorb their writing (and IP) without permission to train AI models.
Image by Mat Smith for Engadget
The BBC says all the writing advice comes directly from her writings, author’s notes and archival interviews, curated by leading Christie experts and scholars, including Dr Mark Aldridge, Michelle Kazmer, Gray Robert Brown and Jamie Bernthal-Hooker. One of the stipulations from the Christie estate was that all the writing tips and guidance come directly from her. The makers claim that AI hasn’t filled in the gaps or made guesses about her writing style, or what advice she might give.
The BBC’s Maestro series is part of the company’s business arm, offering over 40 courses in the style of Masterclass but with, obviously a lot more Brits, priced at $10 per month. (Don’t let the fact that the Diary of a CEO guyis there put you off – the Billy Connolly course is excellent.)
However, for this course, the team ballooned to over 100 people, factoring AI rendering experts, sound engineers and more, to deliver a convincing portrayal of the author of Murder on the Orient Express, Mousetrap and, well, all the others.
Image by Mat Smith for Engadget
During the Q&A (at the glamorous Claridges hotel, of course), Dr. Mark Aldridge explained that in A Murder’s Announced, Christie had a different murderer in mind when she first began writing that book – something vital if you’re trying to convey her writing process. This could then be folded into the course guidance and content.
At the launch event – with almost enough champagne to fill the Nile – I got to delve into the lessons. I’m not ready to pen a 50,000-word page-turner, it’s a convincing facsimile. There’s still a glint of uncanny valley, of course, (I think it’s something to do with the eyes?), but even BBC Maestro CEO Michael Levine noted that since the project’s inception a few years ago, the technology had evolved so quickly that the team was able to do even more than it first thought.
Levine joked that the only books that rivaled sales of Christie’s body of work by sheer volume are the works of Shakespeare and The Bible. There are no plans yet to add further ‘resurrected’ experts to the Maestro lineup.
This article originally appeared on Engadget at https://www.engadget.com/ai/agatha-christie-ai-bbc-maestro-masterclass-writing-course-hands-on-120010944.html?src=rss
Google has announced that it’s helping to financially support the electrical training ALLIANCe (etA), an organization formed by the National Electrical Contractors Association and the International Brotherhood of Electricians. The goal is to train “100,000 electrical workers and 30,000 new apprentices in the United States” to meet the growing power demands of AI.
Using AI will unlock unspecified, but positive economic opportunities, Google’s new white paper, “Powering a New Era of American Innovation,” claims. In order to take advantage of them, though, the US power grid needs to become more capable and efficient. That’s largely because the data centers used to run and train AI models require vast amounts of energy. The white paper claims that new data centers could demand an additional “15-90 GW” of energy by 2030, something that more efficient chips and model training can’t account for. For a sense of the scale, the US Department of Energy says 1 Gigawatt is the equivalent to 103 offshore wind turbines.
Google’s paper calls for investments in alternative energy sources like nuclear power, but also notes that expanding the electrical workforce is necessary. “McKinsey estimates that 130,000 additional electricians will be needed by 2030 to build out data centers and manufacturing facilities,” the company writes. Currently, though, retiring electricians outnumber newly trained ones. “Nearly 10,000 American electricians either retire or change careers each year, while only about 7,000 new entrants join the field.”
Investing in electrical training is Google’s attempt to help change that. It would be nice if it was paired with a clearer explanation around what that AI will be doing with all that extra power — Google notes that there’s a “causal relationship between energy consumption and economic growth” — but skilled job training isn’t a bad thing.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/google-is-funding-electrician-training-to-help-meet-the-power-demands-of-ai-221320678.html?src=rss
Google has announced that it’s helping to financially support the electrical training ALLIANCe (etA), an organization formed by the National Electrical Contractors Association and the International Brotherhood of Electricians. The goal is to train “100,000 electrical workers and 30,000 new apprentices in the United States” to meet the growing power demands of AI.
Using AI will unlock unspecified, but positive economic opportunities, Google’s new white paper, “Powering a New Era of American Innovation,” claims. In order to take advantage of them, though, the US power grid needs to become more capable and efficient. That’s largely because the data centers used to run and train AI models require vast amounts of energy. The white paper claims that new data centers could demand an additional “15-90 GW” of energy by 2030, something that more efficient chips and model training can’t account for. For a sense of the scale, the US Department of Energy says 1 Gigawatt is the equivalent to 103 offshore wind turbines.
Google’s paper calls for investments in alternative energy sources like nuclear power, but also notes that expanding the electrical workforce is necessary. “McKinsey estimates that 130,000 additional electricians will be needed by 2030 to build out data centers and manufacturing facilities,” the company writes. Currently, though, retiring electricians outnumber newly trained ones. “Nearly 10,000 American electricians either retire or change careers each year, while only about 7,000 new entrants join the field.”
Investing in electrical training is Google’s attempt to help change that. It would be nice if it was paired with a clearer explanation around what that AI will be doing with all that extra power — Google notes that there’s a “causal relationship between energy consumption and economic growth” — but skilled job training isn’t a bad thing.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/google-is-funding-electrician-training-to-help-meet-the-power-demands-of-ai-221320678.html?src=rss
Google has announced that it’s helping to financially support the electrical training ALLIANCe (etA), an organization formed by the National Electrical Contractors Association and the International Brotherhood of Electricians. The goal is to train “100,000 electrical workers and 30,000 new apprentices in the United States” to meet the growing power demands of AI.
Using AI will unlock unspecified, but positive economic opportunities, Google’s new white paper, “Powering a New Era of American Innovation,” claims. In order to take advantage of them, though, the US power grid needs to become more capable and efficient. That’s largely because the data centers used to run and train AI models require vast amounts of energy. The white paper claims that new data centers could demand an additional “15-90 GW” of energy by 2030, something that more efficient chips and model training can’t account for. For a sense of the scale, the US Department of Energy says 1 Gigawatt is the equivalent to 103 offshore wind turbines.
Google’s paper calls for investments in alternative energy sources like nuclear power, but also notes that expanding the electrical workforce is necessary. “McKinsey estimates that 130,000 additional electricians will be needed by 2030 to build out data centers and manufacturing facilities,” the company writes. Currently, though, retiring electricians outnumber newly trained ones. “Nearly 10,000 American electricians either retire or change careers each year, while only about 7,000 new entrants join the field.”
Investing in electrical training is Google’s attempt to help change that. It would be nice if it was paired with a clearer explanation around what that AI will be doing with all that extra power — Google notes that there’s a “causal relationship between energy consumption and economic growth” — but skilled job training isn’t a bad thing.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/google-is-funding-electrician-training-to-help-meet-the-power-demands-of-ai-221320678.html?src=rss
Google has announced that it’s helping to financially support the electrical training ALLIANCe (etA), an organization formed by the National Electrical Contractors Association and the International Brotherhood of Electricians. The goal is to train “100,000 electrical workers and 30,000 new apprentices in the United States” to meet the growing power demands of AI.
Using AI will unlock unspecified, but positive economic opportunities, Google’s new white paper, “Powering a New Era of American Innovation,” claims. In order to take advantage of them, though, the US power grid needs to become more capable and efficient. That’s largely because the data centers used to run and train AI models require vast amounts of energy. The white paper claims that new data centers could demand an additional “15-90 GW” of energy by 2030, something that more efficient chips and model training can’t account for. For a sense of the scale, the US Department of Energy says 1 Gigawatt is the equivalent to 103 offshore wind turbines.
Google’s paper calls for investments in alternative energy sources like nuclear power, but also notes that expanding the electrical workforce is necessary. “McKinsey estimates that 130,000 additional electricians will be needed by 2030 to build out data centers and manufacturing facilities,” the company writes. Currently, though, retiring electricians outnumber newly trained ones. “Nearly 10,000 American electricians either retire or change careers each year, while only about 7,000 new entrants join the field.”
Investing in electrical training is Google’s attempt to help change that. It would be nice if it was paired with a clearer explanation around what that AI will be doing with all that extra power — Google notes that there’s a “causal relationship between energy consumption and economic growth” — but skilled job training isn’t a bad thing.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/google-is-funding-electrician-training-to-help-meet-the-power-demands-of-ai-221320678.html?src=rss
Google has announced that it’s helping to financially support the electrical training ALLIANCe (etA), an organization formed by the National Electrical Contractors Association and the International Brotherhood of Electricians. The goal is to train “100,000 electrical workers and 30,000 new apprentices in the United States” to meet the growing power demands of AI.
Using AI will unlock unspecified, but positive economic opportunities, Google’s new white paper, “Powering a New Era of American Innovation,” claims. In order to take advantage of them, though, the US power grid needs to become more capable and efficient. That’s largely because the data centers used to run and train AI models require vast amounts of energy. The white paper claims that new data centers could demand an additional “15-90 GW” of energy by 2030, something that more efficient chips and model training can’t account for. For a sense of the scale, the US Department of Energy says 1 Gigawatt is the equivalent to 103 offshore wind turbines.
Google’s paper calls for investments in alternative energy sources like nuclear power, but also notes that expanding the electrical workforce is necessary. “McKinsey estimates that 130,000 additional electricians will be needed by 2030 to build out data centers and manufacturing facilities,” the company writes. Currently, though, retiring electricians outnumber newly trained ones. “Nearly 10,000 American electricians either retire or change careers each year, while only about 7,000 new entrants join the field.”
Investing in electrical training is Google’s attempt to help change that. It would be nice if it was paired with a clearer explanation around what that AI will be doing with all that extra power — Google notes that there’s a “causal relationship between energy consumption and economic growth” — but skilled job training isn’t a bad thing.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/google-is-funding-electrician-training-to-help-meet-the-power-demands-of-ai-221320678.html?src=rss
Google has announced that it’s helping to financially support the electrical training ALLIANCe (etA), an organization formed by the National Electrical Contractors Association and the International Brotherhood of Electricians. The goal is to train “100,000 electrical workers and 30,000 new apprentices in the United States” to meet the growing power demands of AI.
Using AI will unlock unspecified, but positive economic opportunities, Google’s new white paper, “Powering a New Era of American Innovation,” claims. In order to take advantage of them, though, the US power grid needs to become more capable and efficient. That’s largely because the data centers used to run and train AI models require vast amounts of energy. The white paper claims that new data centers could demand an additional “15-90 GW” of energy by 2030, something that more efficient chips and model training can’t account for. For a sense of the scale, the US Department of Energy says 1 Gigawatt is the equivalent to 103 offshore wind turbines.
Google’s paper calls for investments in alternative energy sources like nuclear power, but also notes that expanding the electrical workforce is necessary. “McKinsey estimates that 130,000 additional electricians will be needed by 2030 to build out data centers and manufacturing facilities,” the company writes. Currently, though, retiring electricians outnumber newly trained ones. “Nearly 10,000 American electricians either retire or change careers each year, while only about 7,000 new entrants join the field.”
Investing in electrical training is Google’s attempt to help change that. It would be nice if it was paired with a clearer explanation around what that AI will be doing with all that extra power — Google notes that there’s a “causal relationship between energy consumption and economic growth” — but skilled job training isn’t a bad thing.
This article originally appeared on Engadget at https://www.engadget.com/big-tech/google-is-funding-electrician-training-to-help-meet-the-power-demands-of-ai-221320678.html?src=rss
One day after Meta rolled out its standalone AI app, Mark Zuckerberg has shared more about how the company plans to eventually monetize its generative AI assistant. During the company’s first quarter earnings call, Zuckerberg said Meta AI could one day show ads and product recommendations. He also hinted at plans for a subscription component for those who want a more “premium” version of the assistant.
“I think that there will be a large opportunity to show product recommendations or ads, as well as a premium service for people who want to unlock more compute for additional functionality or intelligence,” Zuckerberg said.
He added that for now the company is more focused on growing Meta AI’s usage. (He announced yesterday that Meta Ai had reached “almost” 1 billion monthly users.) “I expect that we’re going to be largely focused on scaling and deepening engagement for at least the next year before we’ll really be ready to start building out the business here,” he said.
Zuckerberg’s comments — just one day after Meta introduced its standalone AI app — underscores how important the assistant is to the company. The Facebook founder has repeatedly said he wants Meta AI to be the most used AI assistant in the world, and he said on Wednesday’s call that a standalone app would be particularly important for attracting US users.
Meta’s strategy for monetizing the assistant in many ways mirrors its approach to Threads, which only just began expanding its early experiments with ads this month long after it reached hundreds of millions of users. Speaking of Threads, Zuckerberg also shared some new milestones for Threads, saying that text-based app now has 350 million monthly active users and that time spent on the platform has increased 35 percent over the last six months thanks to improvements to the company’s recommendations systems.
Later in the call, Meta’s CFO Susan Li shared that the company has also been testing its Llama model to power Threads’ recommendations and that the addition of the large language model has led to a 4 percent increase in time spent. “It remains early here, but a big focus this year will be on exploring how we can deploy this for other content types, including photos and videos,” she said.
This article originally appeared on Engadget at https://www.engadget.com/social-media/meta-is-a-mulling-ads-and-a-premium-version-of-its-ai-assistant-mark-zuckerberg-says-225202560.html?src=rss
One day after Meta rolled out its standalone AI app, Mark Zuckerberg has shared more about how the company plans to eventually monetize its generative AI assistant. During the company’s first quarter earnings call, Zuckerberg said Meta AI could one day show ads and product recommendations. He also hinted at plans for a subscription component for those who want a more “premium” version of the assistant.
“I think that there will be a large opportunity to show product recommendations or ads, as well as a premium service for people who want to unlock more compute for additional functionality or intelligence,” Zuckerberg said.
He added that for now the company is more focused on growing Meta AI’s usage. (He announced yesterday that Meta Ai had reached “almost” 1 billion monthly users.) “I expect that we’re going to be largely focused on scaling and deepening engagement for at least the next year before we’ll really be ready to start building out the business here,” he said.
Zuckerberg’s comments — just one day after Meta introduced its standalone AI app — underscores how important the assistant is to the company. The Facebook founder has repeatedly said he wants Meta AI to be the most used AI assistant in the world, and he said on Wednesday’s call that a standalone app would be particularly important for attracting US users.
Meta’s strategy for monetizing the assistant in many ways mirrors its approach to Threads, which only just began expanding its early experiments with ads this month long after it reached hundreds of millions of users. Speaking of Threads, Zuckerberg also shared some new milestones for Threads, saying that text-based app now has 350 million monthly active users and that time spent on the platform has increased 35 percent over the last six months thanks to improvements to the company’s recommendations systems.
Later in the call, Meta’s CFO Susan Li shared that the company has also been testing its Llama model to power Threads’ recommendations and that the addition of the large language model has led to a 4 percent increase in time spent. “It remains early here, but a big focus this year will be on exploring how we can deploy this for other content types, including photos and videos,” she said.
This article originally appeared on Engadget at https://www.engadget.com/social-media/meta-is-a-mulling-ads-and-a-premium-version-of-its-ai-assistant-mark-zuckerberg-says-225202560.html?src=rss
This is site is run by Sascha Endlicher, M.A., during ungodly late night hours. Wanna know more about him? Connect via Social Media by jumping to about.me/sascha.endlicher.
